Gold Stock Price Prediction: Arima Time Series Analysis of PT Antam Tbk

Stock investment is a popular choice for securing future financial stability due to its long-term income potential. Shares of PT Antam Tbk (Antam), commonly referred to as gold stocks, exhibit a strong correlation with gold prices, particularly during periods of global economic and geopolitical uncertainty. This study aims to forecast stock prices using the ARIMA (Auto Regressive Integrated Moving Average) time-series model, considering the role of gold as a global currency. The data utilized in this study includes stock prices and relevant influencing factors, such as gold prices and global socio-economic conditions. The analysis results indicate that the ARIMA (5, 2, 0) model is the most suitable for forecasting stock prices, as it yields the lowest Akaike Information Criterion (AIC) value of 0.151031. This model effectively captures significant patterns and trends in the data, making it a reliable tool for predicting future stock prices. The forecast suggests that stock prices are expected to increase over the next 12 months, with an estimated value reaching approximately 1,880.554 by the end of the period.

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Publication Details

Journal
Symmetry & Sigma Journal of Mathematical Structures and Statistical Patterns
Published
2024-12-30
DOI
https://doi.org/10.58989/symmerge.v1i2.25
Primary Topic
Management and Optimization Techniques
Type
article
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article

Gold Stock Price Prediction: Arima Time Series Analysis of PT Antam Tbk

Augistri Putri Pradani, Diah Safitri, Azril Rabbani Hawa, Eka Prasetianingsih
Symmetry & Sigma Journal of Mathematical Structures and Statistical Patterns
Management and Optimization Techniques
article

Gold Stock Price Prediction: Arima Time Series Analysis of PT Antam Tbk

Augistri Putri Pradani, Diah Safitri, Azril Rabbani Hawa, Eka Prasetianingsih
article en

Abstract

Stock investment is a popular choice for securing future financial stability due to its long-term income potential. Shares of PT Antam Tbk (Antam), commonly referred to as gold stocks, exhibit a strong correlation with gold prices, particularly during periods of global economic and geopolitical uncertainty. This study aims to forecast stock prices using the ARIMA (Auto Regressive Integrated Moving Average) time-series model, considering the role of gold as a global currency. The data utilized in this study includes stock prices and relevant influencing factors, such as gold prices and global socio-economic conditions. The analysis results indicate that the ARIMA (5, 2, 0) model is the most suitable for forecasting stock prices, as it yields the lowest Akaike Information Criterion (AIC) value of 0.151031. This model effectively captures significant patterns and trends in the data, making it a reliable tool for predicting future stock prices. The forecast suggests that stock prices are expected to increase over the next 12 months, with an estimated value reaching approximately 1,880.554 by the end of the period.

Symmetry & Sigma Journal of Mathematical Structures and Statistical PatternsVol. 1(2)
Universitas Nusa Bangsa (ID)
Openalex Percentile: Top 53%
Management and Optimization Techniques
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Gold Stock Price Prediction: Arima Time Series Analysis of PT Antam Tbk — Augistri Putri Pradani, Diah Safitri, et al. · Symmetry & Sigma Journal of Mathematical Structures and Statistical Patterns (2024) | TGRS Research Map | TGRS